Recent advances in data-driven prediction for wind power

Recent advances in data-driven prediction for wind power

Wind power is one of the most representative renewable energy and has attracted wide attention in recent years. With the increasing installed capacity of global wind power, its nature of randomness and uncertainty has posed a serious risk to the safe and stable operation of the power system. Therefo...

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Bibliographic Details
Main Authors: Yaxin Liu, Yunjing Wang, Qingtian Wang, Kegong Zhang, Weiwei Qiang, Qiuzi Han Wen
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Energy Research
Subjects:
wind power prediction
artificial intelligence
data-driven method
machine learning
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1204343/full

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